import json from pydantic import BaseModel, Field, field_validator, model_validator class CreateGenerationTaskRequest(BaseModel): """创建生成任务请求。 支持两种模式(至少提供一种): - 项目模式:project_id + asset_library_id(向后兼容) - 模板模式:template_id + asset_ids / title_ids / voice_ids """ project_id: str = "" asset_library_id: str = "" strategy_id: str = "" voice_library_id: str = "" created_by_user_id: str = "" # ── 模板模式新增字段 ── template_id: str = "" asset_ids: list[str] = Field(default_factory=list) title_ids: list[str] = Field(default_factory=list) voice_ids: list[str] = Field(default_factory=list) # ── 来源剪辑计划 ── source_edit_plan_id: str = "" # ── 视频标题 ── video_title: str = Field(default="", description="生成视频的标题/名称,为空则使用默认命名") # ── 批量生成 ── count: int = Field(default=1, ge=1, le=50, description="批量生成数量,默认1,最大50") # ── 素材库自动匹配 ── asset_select_mode: str = Field( default="all", description="素材选取模式:all=全部ready视频, random=随机选取, smart=智能匹配(按质量/时长评分)", ) asset_select_count: int = Field( default=0, ge=0, le=100, description="选取数量,0表示全部(仅 random/smart 模式有效)" ) # ── 自动重试 ── auto_retry_enabled: bool = Field( default=False, description="是否开启失败自动重试,默认关闭", ) auto_retry_max: int = Field( default=0, ge=0, le=5, description="最大自动重试次数,0表示不自动重试,最大5次", ) @model_validator(mode="after") def _check_at_least_one_mode(self) -> "CreateGenerationTaskRequest": has_project = bool(self.project_id.strip()) has_template = bool(self.template_id.strip()) if not has_project and not has_template: raise ValueError("project_id 或 template_id 至少需要提供一个") has_library = bool(self.asset_library_id.strip()) has_assets = bool(self.asset_ids or self.title_ids or self.voice_ids) if not has_library and not has_assets: raise ValueError("asset_library_id 或 asset_ids/title_ids/voice_ids 至少需要提供一个") return self class GenerationTaskResponse(BaseModel): id: str project_id: str asset_library_id: str strategy_id: str voice_library_id: str template_id: str = "" asset_ids: list[str] = Field(default_factory=list) title_ids: list[str] = Field(default_factory=list) voice_ids: list[str] = Field(default_factory=list) source_edit_plan_id: str = "" asset_select_mode: str = "" batch_id: str = "" video_title: str = "" status: str progress: float result_count: int error_message: str error_info: dict = Field(default_factory=dict) retry_count: int = 0 auto_retry_enabled: bool = False auto_retry_max: int = 0 logs: list[dict] = Field(default_factory=list) @field_validator("logs", mode="before") @classmethod def _parse_logs(cls, v: object) -> list[dict]: """将 JSON 字符串解析为 list[dict]。""" if isinstance(v, str): try: parsed = json.loads(v) return parsed if isinstance(parsed, list) else [] except (json.JSONDecodeError, TypeError): return [] if isinstance(v, list): return v return [] class BatchGenerationTaskResponse(BaseModel): """批量生成任务响应。""" items: list[GenerationTaskResponse] total: int class ListGenerationTasksResponse(BaseModel): """用户级生成任务列表响应(跨 project)。""" items: list[GenerationTaskResponse]